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Peer-reviewedCC BY 4.0Molecular Genetics and Genomics

Candidate DNA methylation markers for gestational diabetes: findings from technical and biological validation in a South African population

5 affiliations
  1. 1Biomedical Research and Innovation Platform (BRIP), South African Medical Research Council, Tygerberg, Cape Town, 7505 South Africa
  2. 2Department of Obstetrics and Gynaecology, School of Medicine, Faculty of Health Sciences, University of Pretoria, Pretoria, 0001 South Africa
  3. 3Diabetes Research Centre, Faculty of Health Sciences, University of Pretoria, Pretoria, 0001 South Africa
  4. 4Department of Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, 7925 South Africa
  5. 5Non-Communicable Diseases Research Unit (NCDRU), South African Medical Research Council, Cape Town, 7505 South Africa

Abstract

Gestational diabetes mellitus (GDM) increases risk of adverse maternal and fetal outcomes. Using Genome-wide Beadchip arrays, we previously reported differential methylation of 1046 CpG sites in women with GDM. This study aimed to validate three candidate CpG sites in an independent cohort of South African women with and without GDM. DNA methylation was assessed in maternal peripheral blood collected at < 28 weeks of gestation, at three top-most significant CpG sites within Calmodulin Binding Transcription Activator 1 (CAMTA1), Kelch domain-containing protein 3/ Male-Enhanced Antigen 1 (KLHDC3/MEA1), and Collectin Subfamily member 10 (COLECT10), using bisulfite pyrosequencing, in a technical validation group (12 GDM and 12 non-GDM), and an independent biological validation group (46 GDM and 135 non-GDM). Associations between differentially methylated CpGs and maternal clinical characteristics were assessed. Technical validation confirmed decreased methylation at cg23643951 (CAMTA1; -1.53-fold; p = 0.04) and cg21910650 (KLHDC3/MEA1; -1.57-fold; p = 0.004), and increased methylation at cg16306629 (COLECT10; 4.5-fold; p = 0.003) in women with GDM, consistent with the original array findings. No significant differences were observed in the biological validation group. Within the technical validation group, cg21910650 methylation was inversely correlated with fasting glucose (rho=-0.625; p = 0.015) and 1 h OGTT (rho=-0.555; p = 0.034), while cg16306629 was positively correlated with fasting glucose (rho = 0.709; p = 0.006). Technical validation confirmed differential methylation at three CpG sites, though these findings were not reproduced in the larger biological validation group, highlighting the need for validation in independent cohorts. Associations between CpG methylation with glucose concentrations suggest a potential association with glucose regulation during pregnancy, providing a foundation for future validation of these CpG sites as biomarkers for GDM.

Supplementary Information: The online version contains supplementary material available at https://doi.org/10.1007/s00438-026-02528-7.

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BibTeX
@article{dias2026candidate,
  title = {{Candidate DNA methylation markers for gestational diabetes: findings from technical and biological validation in a South African population}},
  author = {Stephanie Dias and Matladi Masete and Sumaiya Adam and Hygon Mutavhatsindi and Carmen Pheiffer},
  journal = {Molecular Genetics and Genomics},
  year = {2026},
  month = oct,
  doi = {10.1007/s00438-026-02528-7},
  url = {https://doi.org/10.1007/s00438-026-02528-7},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Candidate DNA methylation markers for gestational diabetes: findings from technical and biological validation in a South African population
AU  - Stephanie Dias
AU  - Matladi Masete
AU  - Sumaiya Adam
AU  - Hygon Mutavhatsindi
AU  - Carmen Pheiffer
PY  - 2026
DA  - 2026/10/26
JO  - Molecular Genetics and Genomics
DO  - 10.1007/s00438-026-02528-7
UR  - https://doi.org/10.1007/s00438-026-02528-7
AB  - Gestational diabetes mellitus (GDM) increases risk of adverse maternal and fetal outcomes. Using Genome-wide Beadchip arrays, we previously reported differential methylation of 1046 CpG sites in women with GDM. This study aimed to validate three candidate CpG sites in an independent cohort of South African women with and without GDM. DNA methylation was assessed in maternal peripheral blood collected at < 28 weeks of gestation, at three top-most significant CpG sites within Calmodulin Binding Transcription Activator 1 (CAMTA1), Kelch domain-containing protein 3/ Male-Enhanced Antigen 1 (KLHDC3/MEA1), and Collectin Subfamily member 10 (COLECT10), using bisulfite pyrosequencing, in a technical validation group (12 GDM and 12 non-GDM), and an independent biological validation group (46 GDM and 135 non-GDM). Associations between differentially methylated CpGs and maternal clinical characteristics were assessed. Technical validation confirmed decreased methylation at cg23643951 (CAMTA1; -1.53-fold; p = 0.04) and cg21910650 (KLHDC3/MEA1; -1.57-fold; p = 0.004), and increased methylation at cg16306629 (COLECT10; 4.5-fold; p = 0.003) in women with GDM, consistent with the original array findings. No significant differences were observed in the biological validation group. Within the technical validation group, cg21910650 methylation was inversely correlated with fasting glucose (rho=-0.625; p = 0.015) and 1 h OGTT (rho=-0.555; p = 0.034), while cg16306629 was positively correlated with fasting glucose (rho = 0.709; p = 0.006). Technical validation confirmed differential methylation at three CpG sites, though these findings were not reproduced in the larger biological validation group, highlighting the need for validation in independent cohorts. Associations between CpG methylation with glucose concentrations suggest a potential association with glucose regulation during pregnancy, providing a foundation for future validation of these CpG sites as biomarkers for GDM.  Supplementary Information: The online version contains supplementary material available at https://doi.org/10.1007/s00438-026-02528-7.
SN  - 1617-4615
SN  - 1617-4623
ER  -